#Fraud-prevention
Showing 13 of 13 repositories tagged #fraud-prevention, ranked by stars
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
A curated list of data mining papers about fraud detection.
A Deep Graph-based Toolbox for Fraud Detection
Obtain a Phone Number full profile including HLR, Reputation, Carrier, Social Media Accounts, Geolocation, Validation, Availabilty, Portability and more.
Protect your SIP Servers from bad actors at https://sentrypeer.org
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.
Este repositório foi cuidadosamente criado para fornecer uma extensa coleção de consultas SQL que visam facilitar o trabalho dos analistas de dados em diversas áreas de uma empresa, incluindo marketing, logística, comercial, financeiro, recursos humanos, operação, jurídico, suporte e muito mais.
Decentralized Social Network Money Frauds/Scams including BitClout / DeSo, Twetch, Steemit, PeakD
Fraud prevention tool
Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com
MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER can evaluate LLM responses for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.